Marktechpost

OCTOBER 7, 2024

Recurrent neural networks (RNNs) have been foundational in machine learning for addressing various sequence-based problems, including time series forecasting and natural language processing. If you like our work, you will love our newsletter. Let’s collaborate!

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Marktechpost

JANUARY 7, 2025

Advancements in neural networks have brought significant changes across domains like natural language processing, computer vision, and scientific computing. Neural networks often employ higher-order tensor weights to capture complex relationships, but this introduces memory inefficiencies during training.

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Pickl AI

DECEMBER 29, 2024

Key Takeaways Mathematics is crucial for optimising AI algorithms and models. Linear algebra helps in data manipulation and neural network training. Optimisation techniques like gradient descent are vital for AI model accuracy. Below are the core components of discrete mathematics essential for AI development.

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Unite.AI

APRIL 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks. LLMs based on prefix decoders include GLM130B and U-PaLM.

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Marktechpost

MAY 1, 2024

Neuro-Symbolic Artificial Intelligence (AI) represents an exciting frontier in the field. It merges the robustness of symbolic reasoning with the adaptive learning capabilities of neural networks. Below, Let’s explore key insights and developments from recent research on neurosymbolic AI, drawing on various scholarly sources.

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Marktechpost

JUNE 14, 2024

Its AI courses, taught by leading experts, offer comprehensive and practical knowledge, equipping students with the skills to tackle real-world challenges and drive future AI developments. This beginner-friendly program, developed by DeepLearning.AI

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Unite.AI

OCTOBER 22, 2024

We use Big O notation to describe this growth, and quadratic complexity O(n²) is a common challenge in many AI tasks. AI models like neural networks , used in applications like Natural Language Processing (NLP) and computer vision , are notorious for their high computational demands.

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Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

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IBM Journey to AI blog

JANUARY 10, 2024

But even with the myriad benefits of AI, it does have noteworthy disadvantages when compared to traditional programming methods. AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended.

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IBM Journey to AI blog

JANUARY 15, 2024

Generative AI is emerging as a valuable solution for automating and improving routine administrative and repetitive tasks. This technology excels at applying foundation models, which are large neural networks trained on extensive unlabeled data and fine-tuned for various tasks. It helps to ensure consistent outputs.

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Marktechpost

MARCH 28, 2024

Artificial Intelligence: A Modern Approach This is a well-acclaimed book that covers the breadth of AI topics, including problem-solving, knowledge representation, machine learning, and natural language processing. The book sheds light on the competition between the USA and China over AI innovations through actual events.

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Unite.AI

APRIL 9, 2024

Composite AI is a cutting-edge approach to holistically tackling complex business problems. These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Decision trees and rule-based models like CART and C4.5

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Unite.AI

JULY 24, 2024

In the consumer technology sector, AI began to gain prominence with features like voice recognition and automated tasks. Over the past decade, advancements in machine learning, Natural Language Processing (NLP), and neural networks have transformed the field.

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NVIDIA

MARCH 18, 2024

Talking the Talk LLMs , a form of generative AI, largely represent a class of deep-learning architectures known as transformer models , which are neural networks adept at learning context and meaning. Geely is working with NVIDIA to provide intelligent cabin experiences, along with accelerated edge-to-cloud deployment.

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Marktechpost

JANUARY 8, 2024

In Large Language Models (LLMs), models like ChatGPT represent a significant shift towards more cost-efficient training and deployment methods, evolving considerably from traditional statistical language models to sophisticated neural network-based models. Check out the Paper.

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Unite.AI

SEPTEMBER 18, 2023

On the other hand, AI or Artificial Intelligence is a branch in modern science that focuses on developing machines that are capable of decision-making, and can simulate autonomous thinking comparable to a human’s ability.

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NVIDIA

FEBRUARY 11, 2025

They said transformer models , large language models (LLMs), vision language models (VLMs) and other neural networks still being built are part of an important new category they dubbed foundation models. Earlier neural networks were narrowly tuned for specific tasks.

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Marktechpost

JUNE 28, 2024

Artificial Intelligence: A Modern Approach This is a well-acclaimed book that covers the breadth of AI topics, including problem-solving, knowledge representation, machine learning, and natural language processing. The book sheds light on the competition between the USA and China over AI innovations through actual events.

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IBM Journey to AI blog

DECEMBER 15, 2023

Additionally, the vendor neutrality of open-source AI ensures organizations aren’t tied to a specific vendor. While open-source AI offers enticing possibilities, its free accessibility poses risks that organizations must navigate carefully.

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Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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Towards AI

JULY 20, 2023

The Lookout — “All’s Well” | Homer NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 03.07.21 Oh and by the way, Maybe… the universe is just a giant neural network… ?‍♂️ ‍♂️ The Universe Might Be One Big Neural Network, Study Finds One scientist says the universe is a giant neural net.

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Marktechpost

JUNE 9, 2024

It explains the differences between hand-coded algorithms and trained models, the relationship between machine learning and AI, and the impact of data types on training. It also explores neural networks, their components, and the complexity of deep learning.

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Marktechpost

MARCH 30, 2024

Below are the top ten Python libraries that stand out in AI development. TensorFlow TensorFlow is a powerful open-source library that facilitates numerical computation and accelerates the machine learning process. It’s widely used for research and production purposes at Google.

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Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow.

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IBM Journey to AI blog

AUGUST 16, 2023

While ChatGPT has gained significant attention and popularity, it faces competition from other AI-powered chatbots and natural language processing (NLP) systems. Google, for example, has developed Bard , its AI chatbot, which is powered by its own language engine called PaLM 2.

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Towards AI

FEBRUARY 17, 2025

DeepSeek AI A Technical Overview An Overview Safer and scalable AI systems have made developing innovative computational structures a requirement for addressing growing market needs. DeepSeek AI developers concentrated on scalable and efficient design because it differed from GPT-4 and PaLM-2.

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Marktechpost

NOVEMBER 16, 2024

Artificial Intelligence: A Modern Approach This is a well-acclaimed book that covers the breadth of AI topics, including problem-solving, knowledge representation, machine learning, and natural language processing. The book sheds light on the competition between the USA and China over AI innovations through actual events.

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Pickl AI

DECEMBER 26, 2024

At the forefront of these efforts is Ultracluster, Amazons state-of-the-art AI supercomputer, designed to revolutionise complex computations and accelerate breakthroughs in AI development. Key Takeaways Ultracluster redefines AI innovation with unparalleled computational power. How Does Ultracluster Benefit AI Research?

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ODSC - Open Data Science

FEBRUARY 10, 2025

adults use only work when they can turn audio data into words, and then apply natural language processing (NLP) to understand it. Choose an Appropriate Algorithm As with all machine learning processes, algorithm selection is also crucial. Such a broad market is a promising opportunity for AI developers.

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IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. ODSC East will also feature an NLP track , specifically designed to teach core NLP skills and platforms.

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Mlearning.ai

MARCH 30, 2023

To train a machine learning model or a neural network that can yield the best results requires what? How can we train a neural network without having an ample amount of data, even if you have it can you afford to train a model for months? The process although automatic is very time-consuming and computationally heavy.

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Unite.AI

MARCH 1, 2024

Sora's Technical Foundations Sora builds upon two groundbreaking AI techniques that have demonstrated immense success in recent years – deep diffusion models and transformers: Diffusion Models Diffusion models are a class of deep generative models that can create highly realistic synthetic images and videos.

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Viso.ai

MARCH 20, 2024

In this article, we’ll discuss the transformative impact of foundation models in modern AI developments. Throughout, you’ll gain the following insights: Definition and Scope of Foundation Models How Do Foundation Models Undergo Training And Fine-Tuning Processes? Learn more about Viso Suite by booking a demo with us.

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Unite.AI

SEPTEMBER 26, 2024

It all started in 2012 with AlexNet, a deep learning model that showed the true potential of neural networks. This move was vital in reducing development costs and encouraging innovation. This move was vital in reducing development costs and encouraging innovation. But things have changed a lot since then.

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ODSC - Open Data Science

AUGUST 31, 2023

The Role of AI in Counterfeit Detection Experts must bolster AI tools to be more proficient at being an anti-counterfeit technology than one to make illegal products. The Battle Between AI and Counterfeiters Each side knows what the other is capable of, resulting in countermeasures.

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Becoming Human

MARCH 16, 2023

These branches include supervised and unsupervised learning, as well as reinforcement learning, and within each, there are various algorithmic techniques that are used to achieve specific goals, such as linear regression, neural networks, and support vector machines. A combination of factors is driving this trend.

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